Slides for the special session on Fair and Explainable Models held at the 31st European Conference on Operational Research (2021).
| Slides | Description |
|---|---|
EURO21.ipynb |
Overview of machine learning explainability with focus on robustness of surrogate explainers for image and tabular data. |
This presentation is created with RISE and
offered as a Jupyter Notebook.
To launch the slideshow (based on the reveal.js
framework) install the dependencies (pip install -r requirements.txt) and
open the notebook within a Jupyter Notebook environment (not Jupyter Lab);
next:
- execute all cells, and
- launch RISE presentation by clicking the bar chart icon
(
) shown in the
Jupyter Notebook toolbar.
More details are available on https://events.fat-forensics.org/2021_euro-explainability.